{"id":"W1533933130","doi":"10.1007/3-540-44886-1_14","title":"A Comparison of Consistency Propagation Algorithms in Constraint Optimization","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Local consistency; Consistency (knowledge bases); Constraint (computer-aided design); Heuristic; Algorithm; Computer science; Mathematical optimization; Arc (geometry); Constraint satisfaction problem; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007531802,0.0003683453,0.0006044286,0.001179955,0.0001149313,0.0001863038,0.0008654098,0.0003030861,0.00005871371],"category_scores_gemma":[0.0001503266,0.0003775041,0.00009041897,0.0008808732,0.0008096675,0.0005346851,0.0002228212,0.0005248141,0.000005427648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003276502,"about_ca_system_score_gemma":0.0007155929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001610316,"about_ca_topic_score_gemma":0.00008795788,"domain_scores_codex":[0.9968656,0.00006916851,0.0009788607,0.0009759029,0.0007398587,0.0003706068],"domain_scores_gemma":[0.9979948,0.0002511325,0.0005883676,0.0006781663,0.0003873778,0.0001001943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000264302,0.00004114396,0.0004766444,0.00002841478,0.000004379083,0.000009184371,0.0005322778,0.6525956,0.00004076145,0.01709897,0.000003076383,0.3291669],"study_design_scores_gemma":[0.000386566,0.0001123492,0.0002153998,0.0003098866,0.000005733641,0.0000381895,0.000001257307,0.9873904,0.0008259486,0.01027325,0.00006024787,0.0003807883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00003082608,0.0001733296,0.993495,0.0004680423,0.0008959612,0.000590543,0.000004453466,0.00007151937,0.004270324],"genre_scores_gemma":[0.2071776,0.00004140217,0.7923022,0.0003429081,0.00004379446,0.000009580662,0.00001131561,0.00001863366,0.00005259217],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3347948,"threshold_uncertainty_score":0.9998677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02290560349101612,"score_gpt":0.2719477538548978,"score_spread":0.2490421503638817,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}